Pervious concrete is an effective solution to manage storm water runoff because of its ability to allow permeation of huge quantities of water. The objective of the present study is to define relationships between formulation parameters (like aggregate sizes and paste quantities) and final properties of pervious concrete (permeability, mechanical resistance, and porosity) through 3D images obtained by micro-tomography. Through an original experimental program, we attempt to determine the permeability of different pervious concretes directly from microstructural parameters extracted from 3D images. We exploit mathematical morphology tools, such as two-point correlation functions to access specific surface area, porosity value, and granulometric distribution of porosity. The permeability of pervious concrete is finally estimated by solving the Stokes equation on the 3D pore network numerically with finite elements. Permeability values obtained from 2D images and 3D acquisitions with water permeability measured in laboratory are then compared.